A number of “normalized” measures ol entropy have been obtained to measure the “intrinsic” uncertainty of a probability distribution. Their graphs have been drawn and it has been shown that the normalized measures of a given probability distribution are much closer to one another than the corresponding absolute measures of entropy.

information theory, Maximum entropy, normalized measures, probabilistic systems, uncertainty
International Journal of General Systems
Sprott School of Business

Kumar, U, Kumar, V, & Kapur, J.N. (J. N.). (1986). Normalized measures of entropy. International Journal of General Systems, 12(1), 55–69. doi:10.1080/03081078608934927